DevOps Engineer @Pricewaterhouse Coopers (PwC)

• Engineered an AI-driven DevOps platform that enables self-healing infrastructure through closed-loop automation, enhancing system reliability.
• Integrated Dynatrace (Davis AI) for intelligent anomaly detection, root cause analysis, and alert correlation across microservices and Kubernetes environments.
• Developed over 20 Python automation scripts to streamline intelligent DevOps workflows, including environment version alignment and ArgoCD deployment automation, significantly reducing manual effort and configuration drift.
• Constructed event-driven automation workflows where Dynatrace alerts trigger Python-based agents for actions such as pod restarts, scaling, and service recovery.
• Implemented AI-driven Kubernetes observability to proactively identify pod failures, latency issues, and resource bottlenecks, improving system performance.
• Automated root cause analysis using log correlation and pattern recognition, decreasing manual debugging efforts by 40%.
• Achieved a 40% reduction in Mean Time to Resolution (MTTR) by integrating AI-powered monitoring with automated remediation pipelines.
• Established intelligent alerting and noise reduction using Dynatrace AI, enhancing operational efficiency and minimizing false positives.

DevOps Engineer @Noventiq Value Point

• Architected and managed multi-cloud infrastructure across AWS and Azure, facilitating scalable and highly available microservices platforms.
• Designed reusable and modular infrastructure patterns using Terraform, enabling consistent and rapid environment provisioning across multiple stages.
• Developed end-to-end CI/CD pipelines for microservices deployments, enhancing release frequency and minimizing deployment failures.
• Containerized applications using Docker and orchestrated workloads on Kubernetes AKS, ensuring high scalability and resilience.
• Implemented a GitOps-based deployment strategy using ArgoCD, ensuring version-controlled and automated Kubernetes application delivery.
• Integrated DevSecOps practices by embedding security scans (SonarQube, Trivy) into CI/CD pipelines to detect vulnerabilities early in the development process.

Associate – Infrastructure Engineering @Sterling Infotech

• Managed and supported cloud-based infrastructure for banking and incident management applications, ensuring high availability and secure operations.
• Designed and maintained CI/CD pipelines to automate build, test, and deployment workflows, improving release efficiency and reducing manual intervention.
• Containerized applications using Docker and supported deployment of microservices-based architectures for scalable and resilient systems.
• Collaborated with development teams to ensure smooth application releases and consistency across development, testing, and production environments.
• Integrated DevOps practices into incident management workflows, enhancing issue tracking, resolution, and overall system reliability.
• Supported production systems by troubleshooting incidents, minimizing downtime, and improving overall application stability.
• Ensured application quality by integrating code quality and basic security checks, enhancing reliability and reducing defects in production.

Bachelor of Engineering